"""Web搜索工具实现"""

import logging
import requests
import json
from typing import Dict, Any, List, Optional
from backend.common.tool_registry import BaseTool, tool_registry

logger = logging.getLogger('web_search_tool')

class WebSearchTool(BaseTool):
    """Web搜索工具，提供网络搜索功能"""
    
    @property
    def name(self) -> str:
        """工具名称"""
        return "web_search"
    
    @property
    def description(self) -> str:
        """工具描述"""
        return "执行Web搜索并返回相关结果"
    
    @property
    def parameters(self) -> Dict[str, Any]:
        """工具参数定义，使用JSON Schema格式"""
        return {
            "type": "object",
            "properties": {
                "query": {
                    "type": "string",
                    "description": "搜索查询关键词"
                },
                "num_results": {
                    "type": "integer",
                    "description": "返回的结果数量",
                    "default": 5,
                    "minimum": 1,
                    "maximum": 20
                },
                "search_engine": {
                    "type": "string",
                    "description": "使用的搜索引擎",
                    "default": "duckduckgo",
                    "enum": ["duckduckgo", "google", "bing"]
                },
                "region": {
                    "type": "string",
                    "description": "搜索地区",
                    "default": "wt-wt"
                },
                "safe_search": {
                    "type": "string",
                    "description": "安全搜索级别",
                    "default": "moderate",
                    "enum": ["off", "moderate", "strict"]
                }
            },
            "required": ["query"]
        }
    
    def execute(self, **kwargs) -> Dict[str, Any]:
        """执行Web搜索
        
        Args:
            query: 搜索查询关键词
            num_results: 返回的结果数量
            search_engine: 使用的搜索引擎
            region: 搜索地区
            safe_search: 安全搜索级别
            
        Returns:
            搜索结果
        """
        query = kwargs.get("query")
        num_results = kwargs.get("num_results", 5)
        search_engine = kwargs.get("search_engine", "duckduckgo")
        region = kwargs.get("region", "wt-wt")
        safe_search = kwargs.get("safe_search", "moderate")
        
        logger.info(f"执行Web搜索: query='{query}', engine={search_engine}, results={num_results}")
        
        try:
            # 根据搜索引擎选择不同的实现
            if search_engine.lower() == "duckduckgo":
                results = self._search_duckduckgo(query, num_results, region, safe_search)
            elif search_engine.lower() == "google":
                results = self._search_google(query, num_results, region, safe_search)
            elif search_engine.lower() == "bing":
                results = self._search_bing(query, num_results, region, safe_search)
            else:
                raise ValueError(f"不支持的搜索引擎: {search_engine}")
            
            logger.info(f"Web搜索完成: found {len(results)} results")
            
            return {
                "search_engine": search_engine,
                "query": query,
                "num_results": len(results),
                "results": results
            }
            
        except Exception as e:
            logger.error(f"Web搜索失败: {str(e)}")
            raise
    
    def _search_duckduckgo(self, query: str, num_results: int, 
                          region: str, safe_search: str) -> List[Dict[str, Any]]:
        """使用DuckDuckGo进行搜索
        
        注意：这是一个示例实现，实际应用中可能需要使用官方API或更复杂的爬虫逻辑
        """
        # 这里使用的是一个示例实现，实际应用中应该使用DuckDuckGo的官方API
        # 或者使用更可靠的第三方服务
        
        logger.warning("DuckDuckGo搜索: 使用示例实现，实际应用中请使用官方API")
        
        # 模拟搜索结果
        # 在实际应用中，这里应该替换为真实的API调用或爬虫逻辑
        # 例如：
        # url = "https://api.duckduckgo.com/"
        # params = {
        #     "q": query,
        #     "format": "json",
        #     "no_html": 1,
        #     "no_redirect": 1
        # }
        # response = requests.get(url, params=params)
        # data = response.json()
        # 然后处理响应数据
        
        # 返回模拟结果
        return self._generate_mock_results(query, num_results)
    
    def _search_google(self, query: str, num_results: int, 
                      region: str, safe_search: str) -> List[Dict[str, Any]]:
        """使用Google进行搜索
        
        注意：实际应用中需要使用Google Custom Search API或其他第三方服务
        """
        logger.warning("Google搜索: 需要Google Custom Search API密钥，当前返回模拟结果")
        
        # 实际应用中应该使用Google Custom Search API
        # 例如：
        # api_key = "YOUR_API_KEY"
        # cx = "YOUR_SEARCH_ENGINE_ID"
        # url = f"https://www.googleapis.com/customsearch/v1?key={api_key}&cx={cx}&q={query}&num={num_results}"
        # response = requests.get(url)
        # data = response.json()
        # 然后处理响应数据
        
        # 返回模拟结果
        return self._generate_mock_results(query, num_results)
    
    def _search_bing(self, query: str, num_results: int, 
                    region: str, safe_search: str) -> List[Dict[str, Any]]:
        """使用Bing进行搜索
        
        注意：实际应用中需要使用Bing Search API或其他第三方服务
        """
        logger.warning("Bing搜索: 需要Bing Search API密钥，当前返回模拟结果")
        
        # 实际应用中应该使用Bing Search API
        # 例如：
        # subscription_key = "YOUR_SUBSCRIPTION_KEY"
        # url = "https://api.bing.microsoft.com/v7.0/search"
        # headers = {"Ocp-Apim-Subscription-Key": subscription_key}
        # params = {"q": query, "count": num_results}
        # response = requests.get(url, headers=headers, params=params)
        # data = response.json()
        # 然后处理响应数据
        
        # 返回模拟结果
        return self._generate_mock_results(query, num_results)
    
    def _generate_mock_results(self, query: str, num_results: int) -> List[Dict[str, Any]]:
        """生成模拟搜索结果
        
        仅用于开发和测试目的
        """
        mock_results = []
        
        for i in range(min(num_results, 5)):  # 限制最多5个模拟结果
            result = {
                "title": f"{query} - 搜索结果 #{i+1}",
                "url": f"https://example.com/search-result-{i+1}?q={query.replace(' ', '+')}",
                "snippet": f"这是关于'{query}'的第{i+1}条搜索结果摘要。包含相关信息和链接，帮助用户了解更多关于'{query}'的内容。",
                "source": "example.com",
                "timestamp": "2023-10-15T10:30:00Z"
            }
            mock_results.append(result)
        
        return mock_results

class WeatherSearchTool(BaseTool):
    """天气查询工具，提供天气信息查询功能"""
    
    @property
    def name(self) -> str:
        """工具名称"""
        return "weather_search"
    
    @property
    def description(self) -> str:
        """工具描述"""
        return "查询指定地点的天气信息"
    
    @property
    def parameters(self) -> Dict[str, Any]:
        """工具参数定义，使用JSON Schema格式"""
        return {
            "type": "object",
            "properties": {
                "location": {
                    "type": "string",
                    "description": "查询的地点名称"
                },
                "days": {
                    "type": "integer",
                    "description": "查询的天数",
                    "default": 1,
                    "minimum": 1,
                    "maximum": 7
                },
                "units": {
                    "type": "string",
                    "description": "温度单位",
                    "default": "celsius",
                    "enum": ["celsius", "fahrenheit"]
                }
            },
            "required": ["location"]
        }
    
    def execute(self, **kwargs) -> Dict[str, Any]:
        """执行天气查询
        
        Args:
            location: 查询的地点名称
            days: 查询的天数
            units: 温度单位
            
        Returns:
            天气信息结果
        """
        location = kwargs.get("location")
        days = kwargs.get("days", 1)
        units = kwargs.get("units", "celsius")
        
        logger.info(f"执行天气查询: location='{location}', days={days}, units={units}")
        
        try:
            # 模拟天气查询结果
            # 在实际应用中，这里应该替换为真实的天气API调用
            
            weather_data = self._generate_mock_weather_data(location, days, units)
            
            logger.info(f"天气查询完成: location={location}")
            
            return {
                "location": location,
                "days": days,
                "units": units,
                "weather": weather_data
            }
            
        except Exception as e:
            logger.error(f"天气查询失败: {str(e)}")
            raise
    
    def _generate_mock_weather_data(self, location: str, days: int, 
                                   units: str) -> Dict[str, Any]:
        """生成模拟天气数据
        
        仅用于开发和测试目的
        """
        # 模拟当前天气
        current_temp = 22 if units == "celsius" else 72
        current_weather = {
            "temperature": current_temp,
            "condition": "晴朗",
            "humidity": 45,
            "wind_speed": 12,
            "wind_direction": "东北",
            "pressure": 1013,
            "visibility": 10,
            "timestamp": "2023-10-15T14:30:00Z"
        }
        
        # 模拟预报
        forecast = []
        for i in range(days):
            day_temp = current_temp + (i * 2 if i < 3 else (days - i) * -1)
            forecast_day = {
                "date": f"2023-10-{15+i}",
                "temperature_max": day_temp + 5,
                "temperature_min": day_temp - 5,
                "condition": "晴朗" if i % 2 == 0 else "多云",
                "precipitation_chance": 10 + (i * 5),
                "humidity": 40 + (i * 2),
                "wind_speed": 10 + i
            }
            forecast.append(forecast_day)
        
        return {
            "current": current_weather,
            "forecast": forecast,
            "source": "mock_weather_service"
        }

class CalculatorTool(BaseTool):
    """计算器工具，提供简单的数学计算功能"""
    
    @property
    def name(self) -> str:
        """工具名称"""
        return "calculator"
    
    @property
    def description(self) -> str:
        """工具描述"""
        return "执行简单的数学计算"
    
    @property
    def parameters(self) -> Dict[str, Any]:
        """工具参数定义，使用JSON Schema格式"""
        return {
            "type": "object",
            "properties": {
                "expression": {
                    "type": "string",
                    "description": "数学表达式，支持+, -, *, /, ^等运算符"
                }
            },
            "required": ["expression"]
        }
    
    def execute(self, **kwargs) -> Dict[str, Any]:
        """执行数学计算
        
        Args:
            expression: 数学表达式
            
        Returns:
            计算结果
        """
        expression = kwargs.get("expression")
        
        logger.info(f"执行数学计算: expression='{expression}'")
        
        try:
            # 安全地执行数学表达式计算
            result = self._calculate_expression(expression)
            
            logger.info(f"数学计算完成: result={result}")
            
            return {
                "expression": expression,
                "result": result
            }
            
        except Exception as e:
            logger.error(f"数学计算失败: {str(e)}")
            raise
    
    def _calculate_expression(self, expression: str) -> float:
        """安全地计算数学表达式
        
        Args:
            expression: 数学表达式
            
        Returns:
            计算结果
        """
        # 注意：直接使用eval是不安全的，这里仅作为示例
        # 实际应用中应该使用更安全的方法，如使用ast模块或专门的数学表达式解析库
        
        # 简单的安全检查
        allowed_chars = set("0123456789.+-*/^() ")
        if not all(c in allowed_chars for c in expression):
            raise ValueError(f"表达式包含不允许的字符: {expression}")
        
        # 替换^为**以支持幂运算
        expression = expression.replace("^", "**")
        
        # 使用eval计算结果（仅作为示例，实际应用中应使用更安全的方法）
        try:
            result = eval(expression, {"__builtins__": {}}, {})
            if not isinstance(result, (int, float)):
                raise ValueError(f"计算结果不是数值: {result}")
            return float(result)
        except Exception as e:
            raise ValueError(f"表达式计算错误: {str(e)}")

# 注册工具到注册表
def register_tools():
    """注册所有工具到工具注册表"""
    # 创建工具实例
    web_search_tool = WebSearchTool()
    weather_search_tool = WeatherSearchTool()
    calculator_tool = CalculatorTool()
    
    # 注册工具
    tool_registry.register_tool(web_search_tool)
    tool_registry.register_tool(weather_search_tool)
    tool_registry.register_tool(calculator_tool)
    
    logger.info("已注册所有内置工具")

# 初始化时注册工具
register_tools()

__all__ = [
    'WebSearchTool',
    'WeatherSearchTool',
    'CalculatorTool',
    'register_tools'
]